datasetId large_stringlengths 6 121 | card_raw large_stringlengths 10 25.3M | card_text large_stringlengths 0 25.3M | downloads int64 0 2.26M | likes int64 0 9.39k | tags large listlengths 1 7.92k | created_at large_stringdate 2022-03-02 23:29:22 2025-11-12 17:47:45 | last_modified large_stringdate 2021-02-16 03:58:06 2025-11-12 17:57:42 | trending_score float32 0 90 |
|---|---|---|---|---|---|---|---|---|
hcooch2ch3/eval_wood_sticks |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
... | 21 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-11T17:55:22+00:00 | 2025-11-12T17:57:22+00:00 | 0 |
ts0pwo/20K_real_and_deepfake_images | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2600 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contains 4 machine learnin... | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2600 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contains 4 machine learnin... | 397 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:1K<n<10K",
"format:imagefolder",
"modality:image",
"library:datasets",
"library:mlcroissant",
"region:us",
"deepfake"
] | 2025-11-05T16:30:27+00:00 | 2025-11-12T17:57:42+00:00 | 0 |
KakologArchives/KakologArchives |
# ニコニコ実況 過去ログアーカイブ
ニコニコ実況 過去ログアーカイブは、[ニコニコ実況](https://jk.nicovideo.jp) のサービス開始から現在までのすべての過去ログコメントを収集したデータセットです。
去る2020年12月、ニコニコ実況は [ニコニコ生放送内の一公式チャンネルとしてリニューアル](https://blog.nicovideo.jp/niconews/143148.html) されました。
これに伴い、2009年11月から運用されてきた旧システムは提供終了となり（事実上のサービス終了）、torne や BRAVIA などの家電への対応が軒並み終了する中、当時の生の声が詰まった約11年分の... |
# ニコニコ実況 過去ログアーカイブ
ニコニコ実況 過去ログアーカイブは、[ニコニコ実況](https://jk.nicovideo.jp) のサービス開始から現在までのすべての過去ログコメントを収集したデータセットです。
去る2020年12月、ニコニコ実況は [ニコニコ生放送内の一公式チャンネルとしてリニューアル](https://blog.nicovideo.jp/niconews/143148.html) されました。
これに伴い、2009年11月から運用されてきた旧システムは提供終了となり（事実上のサービス終了）、torne や BRAVIA などの家電への対応が軒並み終了する中、当時の生の声が詰まった約11年分の... | 79,867 | 16 | [
"task_categories:text-classification",
"language:ja",
"license:mit",
"region:us"
] | 2023-05-12T13:31:56+00:00 | 2025-11-12T17:56:42+00:00 | 0 |
chrisrca/clash-royale-tv-replays |
# Clash Royale TV Replays
Frame-by-frame gameplay recordings (~10 fps) from Clash Royale's TV Royale, covering all 31 arenas. Automated recording using tools from our [github repository](https://github.com/chrisrca/CS541-Deep-Learning-Clash-Royale-Project/tree/emulation).
## Structure
```
arena_{XX}/{replay_uuid}/
... |
# Clash Royale TV Replays
Frame-by-frame gameplay recordings (~10 fps) from Clash Royale's TV Royale, covering all 31 arenas. Automated recording using tools from our [github repository](https://github.com/chrisrca/CS541-Deep-Learning-Clash-Royale-Project/tree/emulation).
## Structure
```
arena_{XX}/{replay_uuid}/
... | 6,014 | 1 | [
"task_categories:feature-extraction",
"license:mit",
"region:us",
"clash-royale",
"replays",
"gaming",
"computer-vision",
"parquet",
"image-dataset",
"video-frames",
"mobile-gaming"
] | 2025-11-10T02:39:02+00:00 | 2025-11-12T17:56:35+00:00 | 1 |
oxe-aug/language_table_train_160000_165000_augmented | # language_table_train_160000_165000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,439
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | # language_table_train_160000_165000_augmented
## Overview
- **Codebase version**: `v2.1`
- **Robots**: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e
- **FPS**: 10
- **Episodes**: 5,000
- **Frames**: 79,439
- **Videos**: 40,000
- **Chunks**: 5
- **Splits**:
- `train`: `0:5000`
## Data Layout
... | 0 | 0 | [
"task_categories:robotics",
"license:cc-by-4.0",
"arxiv:2210.06407",
"region:us",
"robotics",
"lerobot",
"oxe-aug",
"dataset"
] | 2025-11-12T13:41:09+00:00 | 2025-11-12T17:56:08+00:00 | 0 |
ts0pwo/20K_real_and_deepfake_images_ELA | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | 0 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:10K<n<100K",
"region:us",
"deepfake"
] | 2025-11-12T16:01:17+00:00 | 2025-11-12T17:54:18+00:00 | 0 |
mixture-vitae/MixtureVitae-2TT | # Aurora-M2
We are still uploading data...
This is a **multilingual, permissive, partially synthetic, decontaminated pre-training** dataset. It consists of cc-by, public domain, or governmental websites. This dataset will eventually contain approximately 2 trillion tokens.
We have an overlap with many of the other p... | # Aurora-M2
We are still uploading data...
This is a **multilingual, permissive, partially synthetic, decontaminated pre-training** dataset. It consists of cc-by, public domain, or governmental websites. This dataset will eventually contain approximately 2 trillion tokens.
We have an overlap with many of the other p... | 439 | 0 | [
"license:odc-by",
"size_categories:100K<n<1M",
"modality:text",
"region:us"
] | 2025-09-26T23:35:57+00:00 | 2025-11-12T17:53:07+00:00 | 0 |
nvail23/BlueSnap-Task |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"robot_type": "so101_follower",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"robot_type": "so101_follower",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T17:40:33+00:00 | 2025-11-12T17:52:01+00:00 | 0 |
Kiy-K/pretraining-corpus |
# 🧠 Kiy-K Synthetic Pretraining Corpus
**Author:** [Khoi K. (@Kiy-K)](https://huggingface.co/Kiy-K)
**License:** Apache 2.0
**Last Updated:** 2025-10-30
---
## 📘 Overview
The **Kiy-K Synthetic Pretraining Corpus** is a large-scale collection of **synthetically generated English text** designed for **langua... |
# 🧠 Kiy-K Synthetic Pretraining Corpus
**Author:** [Khoi K. (@Kiy-K)](https://huggingface.co/Kiy-K)
**License:** Apache 2.0
**Last Updated:** 2025-10-30
---
## 📘 Overview
The **Kiy-K Synthetic Pretraining Corpus** is a large-scale collection of **synthetically generated English text** designed for **langua... | 3,655 | 2 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"synthetic",
"ai",
"nlp",
"pretrainin... | 2025-10-30T05:31:56+00:00 | 2025-11-12T17:50:02+00:00 | 0 |
Pendrokar/TTS_Arena | [TTS Arena's](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena) DB is _SQLlite_ DB file. The above is just a summary query that should be useful for TTS developers to evaluate faults of their model.
## Why no audio samples?
Unsafe. Cannot constantly oversee the output of uncontrolled HuggingFace Spaces. While... | [TTS Arena's](https://huggingface.co/spaces/Pendrokar/TTS-Spaces-Arena) DB is _SQLlite_ DB file. The above is just a summary query that should be useful for TTS developers to evaluate faults of their model.
## Why no audio samples?
Unsafe. Cannot constantly oversee the output of uncontrolled HuggingFace Spaces. While... | 4,448 | 6 | [
"language:en",
"size_categories:1K<n<10K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"arena"
] | 2024-10-11T16:52:25+00:00 | 2025-11-12T17:49:16+00:00 | 0 |
electricsheepafrica/livestock-health-disease-ssa-synthetic |
# Dataset Card: Livestock Health & Disease Surveillance (Synthetic Data)
## Dataset Summary
This synthetic dataset represents **1,000,000 African smallholder households** with livestock systems, capturing livestock health, disease surveillance, veterinary access, and herd management practices across Sub-Saharan Afri... |
# Dataset Card: Livestock Health & Disease Surveillance (Synthetic Data)
## Dataset Summary
This synthetic dataset represents **1,000,000 African smallholder households** with livestock systems, capturing livestock health, disease surveillance, veterinary access, and herd management practices across Sub-Saharan Afri... | 0 | 0 | [
"task_categories:tabular-regression",
"task_categories:tabular-classification",
"language:en",
"license:cc-by-4.0",
"size_categories:1M<n<10M",
"region:us",
"agriculture",
"livestock",
"africa",
"synthetic-data",
"food-security",
"veterinary",
"disease-surveillance",
"smallholder-farming"
... | 2025-11-12T17:34:30+00:00 | 2025-11-12T17:47:57+00:00 | 0 |
TheFactoryX/edition_0345_SWE-Gym-SWE-Gym-readymade |
# edition_0345_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... |
# edition_0345_SWE-Gym-SWE-Gym-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[SWE-Gym/SWE-Gym](https://huggingface.co/datasets/SWE-Gym/SWE-Gym)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we did:... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T17:47:45+00:00 | 2025-11-12T17:47:47+00:00 | 0 |
StannumX/ae0815 |
Hong Kong A&E Waiting Time
香港急症室等候時間
可视化&visualization: https://huggingface.co/spaces/StannumX/AE_Time
- `hospCode` = 医院名称
- `hospTimeEn` = 时间点
- `topWait` = 等候时间 |
Hong Kong A&E Waiting Time
香港急症室等候時間
可视化&visualization: https://huggingface.co/spaces/StannumX/AE_Time
- `hospCode` = 医院名称
- `hospTimeEn` = 时间点
- `topWait` = 等候时间 | 5,336 | 0 | [
"license:mit",
"size_categories:100K<n<1M",
"format:csv",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-08-15T05:34:24+00:00 | 2025-11-12T17:47:15+00:00 | 0 |
hf-doc-build/doc-build-dev |
This is a dataset which contains the docs from all the PRs that are updating one of the docs from https://huggingface.co/docs.
It is automatically updated by this [github action](https://github.com/huggingface/doc-builder/blob/main/.github/workflows/build_pr_documentation.yml) from the [doc-buider](https://github.com... |
This is a dataset which contains the docs from all the PRs that are updating one of the docs from https://huggingface.co/docs.
It is automatically updated by this [github action](https://github.com/huggingface/doc-builder/blob/main/.github/workflows/build_pr_documentation.yml) from the [doc-buider](https://github.com... | 277,972 | 6 | [
"license:mit",
"region:us",
"documentation"
] | 2022-11-08T09:03:37+00:00 | 2025-11-12T17:47:04+00:00 | 0 |
ems123/Water-Potability-Classification-Project | # 💧 Water Potability Prediction: Classification Model Analysis
**Author:** [Emilie Levenbach]
**Date:** [12-11-2025]
**Project Goal:** To classify water samples as either potable (safe to drink) or non-potable based on their chemical properties.
---
## 1. Dataset Selection & Preparation (Part 1)
### Chosen Dataset... | # 💧 Water Potability Prediction: Classification Model Analysis
**Author:** [Emilie Levenbach]
**Date:** [12-11-2025]
**Project Goal:** To classify water samples as either potable (safe to drink) or non-potable based on their chemical properties.
---
## 1. Dataset Selection & Preparation (Part 1)
### Chosen Dataset... | 0 | 0 | [
"region:us"
] | 2025-11-12T16:58:51+00:00 | 2025-11-12T17:47:34+00:00 | 0 |
Milad96/Kluyveromyces-marxianus |
# 🧬 Kluyveromyces marxianus Quantum Dataset v10.0.0
## Overview
Comprehensive multi-omics dataset for *Kluyveromyces marxianus* collected using quantum-grade async streaming pipeline, fully integrated with Cell 0's structured directory system.
### Statistics
| Metric | Value |
|--------|-------|
| **Total Collect... |
# 🧬 Kluyveromyces marxianus Quantum Dataset v10.0.0
## Overview
Comprehensive multi-omics dataset for *Kluyveromyces marxianus* collected using quantum-grade async streaming pipeline, fully integrated with Cell 0's structured directory system.
### Statistics
| Metric | Value |
|--------|-------|
| **Total Collect... | 652 | 0 | [
"task_categories:text-generation",
"task_categories:token-classification",
"task_categories:question-answering",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"regi... | 2025-11-10T10:13:24+00:00 | 2025-11-12T17:35:13+00:00 | 0 |
TheFactoryX/edition_0344_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0344_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... |
# edition_0344_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T17:36:38+00:00 | 2025-11-12T17:36:41+00:00 | 0 |
bezzam/vibevoice_samples |
Source: https://github.com/vibevoice-community/VibeVoice/tree/main/demo |
Source: https://github.com/vibevoice-community/VibeVoice/tree/main/demo | 11 | 0 | [
"license:mit",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | 2025-11-08T09:26:38+00:00 | 2025-11-12T17:36:39+00:00 | 0 |
isaacery/test |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot",
"test"
] | 2025-11-12T17:25:54+00:00 | 2025-11-12T17:25:59+00:00 | 0 |
rahul09122004/neuroscope-dataset | # LGG Segmentation Dataset
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks.
The images were obtained from The Cancer Imaging Archive (TCIA).
They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-atten... | # LGG Segmentation Dataset
This dataset contains brain MR images together with manual FLAIR abnormality segmentation masks.
The images were obtained from The Cancer Imaging Archive (TCIA).
They correspond to 110 patients included in The Cancer Genome Atlas (TCGA) lower-grade glioma collection with at least fluid-atten... | 0 | 0 | [
"region:us"
] | 2025-11-12T16:55:36+00:00 | 2025-11-12T17:22:06+00:00 | 0 |
TheFactoryX/edition_0343_shi-labs-oneformer_demo-readymade |
# edition_0343_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... |
# edition_0343_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T17:13:27+00:00 | 2025-11-12T17:13:30+00:00 | 0 |
phospho-app/b19_new_bboxes |
# b19_new
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your ... |
# b19_new
**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.
To get started in robotics, [get your ... | 56 | 0 | [
"task_categories:robotics",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"phosphobot",
"so100",
"phospho-dk"
] | 2025-11-06T15:40:25+00:00 | 2025-11-12T17:12:18+00:00 | 0 |
fmadore/islam-west-africa-collection |
# Islam West Africa Collection (IWAC)
## Dataset Overview
This dataset forms part of the *[Islam West Africa Collection](https://islam.zmo.de/s/westafrica/)* (IWAC), an open-access digital database curated by [Frédérick Madore](https://www.frederickmadore.com/). The project is hosted at [Leibniz-Zentrum Moderner Ori... |
# Islam West Africa Collection (IWAC)
## Dataset Overview
This dataset forms part of the *[Islam West Africa Collection](https://islam.zmo.de/s/westafrica/)* (IWAC), an open-access digital database curated by [Frédérick Madore](https://www.frederickmadore.com/). The project is hosted at [Leibniz-Zentrum Moderner Ori... | 45 | 0 | [
"language:fr",
"language:en",
"license:cc-by-nc-sa-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-05-23T12:46:12+00:00 | 2025-11-12T17:07:19+00:00 | 0 |
sevenc-nanashi/kiiteitte |
# Kiiteitte history
[Kiiteitte](https://github.com/sevenc-nanashi/kiiteitte-web) が収集した、今までの選曲履歴。
1時間おきに更新されます。
## 型
```jsonc
{
// 動画ID
"video_id": "sm44670499",
// タイトル
"title": "library->w4nderers / 足立レイ、つくよみちゃん",
// 投稿者
"author": "名無し｡",
// サムネイルのURL
"thumbnail": "https://nicovideo.cdn.nimg.jp/thu... |
# Kiiteitte history
[Kiiteitte](https://github.com/sevenc-nanashi/kiiteitte-web) が収集した、今までの選曲履歴。
1時間おきに更新されます。
## 型
```jsonc
{
// 動画ID
"video_id": "sm44670499",
// タイトル
"title": "library->w4nderers / 足立レイ、つくよみちゃん",
// 投稿者
"author": "名無し｡",
// サムネイルのURL
"thumbnail": "https://nicovideo.cdn.nimg.jp/thu... | 3,202 | 0 | [
"size_categories:100K<n<1M",
"format:json",
"modality:image",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-03-03T09:58:01+00:00 | 2025-11-12T17:04:50+00:00 | 0 |
reyavir/PromptEvals | **PromptEvals: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines**
Large language models (LLMs) are increasingly deployed in specialized production data processing pipelines across diverse domains---such as finance, marketing, and e-commerce.
However, when running them in p... | **PromptEvals: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines**
Large language models (LLMs) are increasingly deployed in specialized production data processing pipelines across diverse domains---such as finance, marketing, and e-commerce.
However, when running them in p... | 30 | 20 | [
"license:mit",
"size_categories:1K<n<10K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2504.14738",
"region:us"
] | 2025-02-01T18:34:26+00:00 | 2025-11-12T17:04:50+00:00 | 0 |
dasyd/quants |
# QuAnTS: Question Answering on Time Series
[](https://github.com/mauricekraus/quants-generate)
[](https://arxiv.org/abs/2511.05124)
QuAnTS is ... |
# QuAnTS: Question Answering on Time Series
[](https://github.com/mauricekraus/quants-generate)
[](https://arxiv.org/abs/2511.05124)
QuAnTS is ... | 60 | 1 | [
"task_categories:question-answering",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2511.05124",
"doi:10.57967/hf/6663",
"region:us"... | 2024-04-09T20:58:03+00:00 | 2025-11-12T17:10:32+00:00 | 0 |
KozMi/pal_fullflow_golden_lora_training |
# PAL FullFlow Golden - LoRA Training Dataset
Training dataset for PAL FullFlow Golden character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL FullFlow Golden
- **Trigger Word**: `chr_pal_fullflow_golden`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.zip`
## Character Attributes
- **B... |
# PAL FullFlow Golden - LoRA Training Dataset
Training dataset for PAL FullFlow Golden character LoRA used with WAN 2.2.
## Dataset Information
- **Character**: PAL FullFlow Golden
- **Trigger Word**: `chr_pal_fullflow_golden`
- **ZIP Size**: 7.0 MB
- **File**: `training_dataset.zip`
## Character Attributes
- **B... | 0 | 0 | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"license:other",
"region:us",
"lora",
"training",
"wan-2.2"
] | 2025-11-12T17:02:07+00:00 | 2025-11-12T17:02:14+00:00 | 0 |
asterism45/bi_openarm_collect_tools_2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T16:56:47+00:00 | 2025-11-12T16:59:40+00:00 | 0 |
volcanos/3TF |
## Dataset Details
### Dataset Description
This is the model for paper [Efficient Reasoning via Thought-Training and Thought-Free Inference](https://arxiv.org/abs/2511.03408)
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in th... |
## Dataset Details
### Dataset Description
This is the model for paper [Efficient Reasoning via Thought-Training and Thought-Free Inference](https://arxiv.org/abs/2511.03408)
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in th... | 0 | 0 | [
"language:en",
"license:mit",
"arxiv:2511.03408",
"region:us"
] | 2025-11-12T16:58:21+00:00 | 2025-11-12T17:00:20+00:00 | 0 |
aigrant/taiwan-ly-law-research |
# Taiwan Legislator Yuan Law Research Data
## Overview
The law research documents are issued irregularly from Taiwan Legislator Yuan.
The purpose of those research are providing better understanding on social issues in aspect of laws.
One may find documents rich with technical terms which could provided as training ... |
# Taiwan Legislator Yuan Law Research Data
## Overview
The law research documents are issued irregularly from Taiwan Legislator Yuan.
The purpose of those research are providing better understanding on social issues in aspect of laws.
One may find documents rich with technical terms which could provided as training ... | 176 | 6 | [
"language:zh",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:csv",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2024-07-22T21:29:38+00:00 | 2025-11-12T17:00:10+00:00 | 0 |
theonegareth/antam_historical_gold_prices |
# Unofficial Antam Gold Price History (IDR)
This repository provides an unofficial historical record of Antam gold selling prices in Indonesian Rupiah (IDR), compiled from publicly accessible information on the official Antam Logam Mulia website.
It is intended for research, analysis, and educational use cases such ... |
# Unofficial Antam Gold Price History (IDR)
This repository provides an unofficial historical record of Antam gold selling prices in Indonesian Rupiah (IDR), compiled from publicly accessible information on the official Antam Logam Mulia website.
It is intended for research, analysis, and educational use cases such ... | 3 | 0 | [
"license:mit",
"size_categories:1K<n<10K",
"region:us",
"finance"
] | 2025-11-12T03:54:22+00:00 | 2025-11-12T16:58:58+00:00 | 0 |
OpenDataArena/FineReason | # FineReason: A Comprehensive Multimodal Dataset for Visual Reasoning
FineReason is a multimodal reasoning dataset designed to enhance large multimodal models (LMMs) in visual reasoning, covering **STEM (Science, Technology, Engineering, and Mathematics), visual puzzles, games, complex diagram reasoning**.
Each exampl... | # FineReason: A Comprehensive Multimodal Dataset for Visual Reasoning
FineReason is a multimodal reasoning dataset designed to enhance large multimodal models (LMMs) in visual reasoning, covering **STEM (Science, Technology, Engineering, and Mathematics), visual puzzles, games, complex diagram reasoning**.
Each exampl... | 667 | 16 | [
"size_categories:1M<n<10M",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-24T16:42:22+00:00 | 2025-11-12T16:54:39+00:00 | 9 |
volcanos/StepPruner |
## Dataset Details
### Dataset Description
This is the dataset for paper [Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models](https://arxiv.org/abs/2510.03805)
This is a subset of DeepScalar.
## Citation [optional]
<!-- If there is a paper or blog post introducing the m... |
## Dataset Details
### Dataset Description
This is the dataset for paper [Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models](https://arxiv.org/abs/2510.03805)
This is a subset of DeepScalar.
## Citation [optional]
<!-- If there is a paper or blog post introducing the m... | 0 | 0 | [
"language:en",
"license:mit",
"arxiv:2510.03805",
"region:us"
] | 2025-11-12T16:54:08+00:00 | 2025-11-12T16:57:09+00:00 | 0 |
LSDB/mmu-sdss-sdss |
---
description: 'HATS version of MultimodalUniverse/sdss: Spectra dataset based on SDSS-IV.
'
homepage: https://www.sdss.org/
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% % From: https://www.sdss4.org/collaboration/citing-sdss/\n\
% \n% Funding for the Sloan Digital Sky Survey IV has been provide... |
---
description: 'HATS version of MultimodalUniverse/sdss: Spectra dataset based on SDSS-IV.
'
homepage: https://www.sdss.org/
version: 1.0.0
citation: "% % ACKNOWLEDGEMENTS\n% % From: https://www.sdss4.org/collaboration/citing-sdss/\n\
% \n% Funding for the Sloan Digital Sky Survey IV has been provide... | 0 | 0 | [
"arxiv:2112.02026",
"region:us"
] | 2025-11-12T16:51:49+00:00 | 2025-11-12T16:53:33+00:00 | 0 |
sii-geai-lab/ESOT500 |
# ESOT500: A High-Frequency Dataset for Event-Driven Perception
## Introduction
**ESOT500** is a high-frequency annotated event-based single object tracking dataset. It was created to demonstrate the **STARE (STream-based lAtency-awaRe Evaluation)** framework, enabling rigorous assessment of event-driven perception... |
# ESOT500: A High-Frequency Dataset for Event-Driven Perception
## Introduction
**ESOT500** is a high-frequency annotated event-based single object tracking dataset. It was created to demonstrate the **STARE (STream-based lAtency-awaRe Evaluation)** framework, enabling rigorous assessment of event-driven perception... | 301 | 0 | [
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"event-camera",
"bounding-box",
"tracking",
"image"
] | 2024-06-12T06:32:49+00:00 | 2025-11-12T16:52:36+00:00 | 0 |
ryankamiri/R2E-Gym-Subset |
# R2E-Gym Subset Filtered for MAGRPO
Filtered subset of R2E-Gym optimized for 2-agent MAGRPO training with 7B models.
## Dataset Statistics
- Total instances: 462
- Format: Issue description + Oracle files in prompt
- Optimized for: 2-agent collaboration, 7B models
## Filtering Criteria
1. File count: 1-2 files per... |
# R2E-Gym Subset Filtered for MAGRPO
Filtered subset of R2E-Gym optimized for 2-agent MAGRPO training with 7B models.
## Dataset Statistics
- Total instances: 462
- Format: Issue description + Oracle files in prompt
- Optimized for: 2-agent collaboration, 7B models
## Filtering Criteria
1. File count: 1-2 files per... | 77 | 0 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2504.07164",
"region:us",
"code",
"python",
"so... | 2025-11-03T14:34:56+00:00 | 2025-11-12T16:52:37+00:00 | 0 |
hf-doc-build/doc-build | This repo contains all the docs published on https://huggingface.co/docs.
The docs are generated with https://github.com/huggingface/doc-builder.
<!-- comment to trigger webhook.= --> | This repo contains all the docs published on https://huggingface.co/docs.
The docs are generated with https://github.com/huggingface/doc-builder.
<!-- comment to trigger webhook.= --> | 1,021,897 | 12 | [
"license:mit",
"region:us"
] | 2022-10-24T15:39:05+00:00 | 2025-11-12T16:51:28+00:00 | 0 |
giladbecher/apple-stock-price-trend-and-indicators-10-years | # Apple Stock Price Trend and Indicators (10 Years)
### Video Presentation
*(not uploaded yet)*
---
## **Dataset Overview**
This dataset provides ten years of Apple Inc. (AAPL) stock market data, including both raw price information and multiple **technical indicators** commonly used in financial analysis.
... | # Apple Stock Price Trend and Indicators (10 Years)
### Video Presentation
*(not uploaded yet)*
---
## **Dataset Overview**
This dataset provides ten years of Apple Inc. (AAPL) stock market data, including both raw price information and multiple **technical indicators** commonly used in financial analysis.
... | 0 | 0 | [
"region:us"
] | 2025-11-12T14:03:55+00:00 | 2025-11-12T16:49:36+00:00 | 0 |
BrentLab/harbison_2004 | # Harbison 2004
This Dataset is a parsed version of the data provided by Richard A. Young's lab. To cite
this data, please use:
[Harbison CT, Gordon DB, Lee TI, Rinaldi NJ, Macisaac KD, Danford TW, Hannett NM, Tagne
JB, Reynolds DB, Yoo J, et al. 2004. Transcriptional regulatory code of a eukaryotic
genome. Nature ... | # Harbison 2004
This Dataset is a parsed version of the data provided by Richard A. Young's lab. To cite
this data, please use:
[Harbison CT, Gordon DB, Lee TI, Rinaldi NJ, Macisaac KD, Danford TW, Hannett NM, Tagne
JB, Reynolds DB, Yoo J, et al. 2004. Transcriptional regulatory code of a eukaryotic
genome. Nature ... | 26 | 0 | [
"language:en",
"license:mit",
"size_categories:1M<n<10M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"genomics",
"yeast",
"transcription",
"binding"
] | 2025-08-22T14:52:18+00:00 | 2025-11-12T16:46:50+00:00 | 0 |
ontocord/MixtureVitae-211BT-decontaminated | # MixtureVitae-211BT (Decontaminated)
This repository mirrors the file structure of `ontocord/MixtureVitae-211BT` under the `data/` tree,
but each file has been **decontaminated** offline.
- Source repo: `ontocord/MixtureVitae-211BT`
- Method: offline decontamination pipeline
| # MixtureVitae-211BT (Decontaminated)
This repository mirrors the file structure of `ontocord/MixtureVitae-211BT` under the `data/` tree,
but each file has been **decontaminated** offline.
- Source repo: `ontocord/MixtureVitae-211BT`
- Method: offline decontamination pipeline
| 50 | 0 | [
"size_categories:10M<n<100M",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-11-12T00:51:29+00:00 | 2025-11-12T16:45:35+00:00 | 0 |
westchestercleaning/westchester-cleaning-services-schema |
# Westchester Cleaning Services — Structured Data Feed
This dataset contains the verified public structured data for **Westchester Cleaning Services, LLC**, a certified MBE commercial cleaning company founded in 2015 and based in Tarrytown, NY.
It includes:
- `org.jsonld` — Organization profile
- `faq.jsonld` — FA... |
# Westchester Cleaning Services — Structured Data Feed
This dataset contains the verified public structured data for **Westchester Cleaning Services, LLC**, a certified MBE commercial cleaning company founded in 2015 and based in Tarrytown, NY.
It includes:
- `org.jsonld` — Organization profile
- `faq.jsonld` — FA... | 0 | 0 | [
"task_categories:other",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"region:us",
"schema",
"organization",
"westchester",
"cleaning",
"jsonld",
"open-data"
] | 2025-11-12T16:39:39+00:00 | 2025-11-12T16:44:13+00:00 | 0 |
BrentLab/barkai_compendium |
# Barkai Compendium
This collects the ChEC-seq data from the following GEO series:
- [GSE179430](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE179430)
- [GSE209631](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE209631)
- [GSE222268](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE222268)
The m... |
# Barkai Compendium
This collects the ChEC-seq data from the following GEO series:
- [GSE179430](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE179430)
- [GSE209631](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE209631)
- [GSE222268](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE222268)
The m... | 512 | 0 | [
"language:en",
"license:mit",
"size_categories:1B<n<10B",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"transcription-factor",
"binding",
"chec-seq",
"genomics",
"biology"
] | 2025-08-28T09:41:48+00:00 | 2025-11-12T16:45:38+00:00 | 0 |
zhangwei217245/hf_model_metadata_all | # hf_models
| # hf_models
| 0 | 0 | [
"region:us"
] | 2025-11-12T15:16:05+00:00 | 2025-11-12T16:37:25+00:00 | 0 |
diffusers/community-pipelines-mirror | # Community Pipeline Examples
> **For more information about community pipelines, please have a look at [this issue](https://github.com/huggingface/diffusers/issues/841).**
**Community pipeline** examples consist pipelines that have been added by the community.
Please have a look at the following tables to get an ove... | # Community Pipeline Examples
> **For more information about community pipelines, please have a look at [this issue](https://github.com/huggingface/diffusers/issues/841).**
**Community pipeline** examples consist pipelines that have been added by the community.
Please have a look at the following tables to get an ove... | 34,465 | 8 | [
"arxiv:2204.00227",
"arxiv:2201.0986",
"arxiv:2305.03486",
"arxiv:2303.11328",
"arxiv:2310.04378",
"arxiv:2311.16973",
"arxiv:2309.06380",
"arxiv:2211.09794",
"arxiv:2306.07954",
"arxiv:2312.02133",
"arxiv:2403.12962",
"arxiv:2312.14091",
"arxiv:2208.04202",
"arxiv:2210.16056",
"arxiv:22... | 2024-06-07T01:22:34+00:00 | 2025-11-12T16:37:41+00:00 | 0 |
ts0pwo/20K_real_and_deepfake_images_PCA | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | 0 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:10K<n<100K",
"region:us",
"deepfake"
] | 2025-11-12T16:29:20+00:00 | 2025-11-12T16:34:34+00:00 | 0 |
sszhong/Amazon-Users | # Amazon Review 2018 Common Users Dataset
## Overview
This dataset contains Amazon Review data from the 2018 version, filtered across multiple domains. It includes reviews from common users across the following categories:
* **Books**
* **CDs and Vinyl**
* **Digital Music**
* **Magazine Subscriptions**
* **Movies an... | # Amazon Review 2018 Common Users Dataset
## Overview
This dataset contains Amazon Review data from the 2018 version, filtered across multiple domains. It includes reviews from common users across the following categories:
* **Books**
* **CDs and Vinyl**
* **Digital Music**
* **Magazine Subscriptions**
* **Movies an... | 0 | 0 | [
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"region:us",
"recommendation",
"reviews"
] | 2025-11-12T04:27:24+00:00 | 2025-11-12T16:30:44+00:00 | 0 |
ts0pwo/20K_real_and_deepfake_images_NA | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | This dataset contains the test images used to evaluate our deepfake detection framework. It originally contained 20,000 real and deepfake images, but as some 2300 files are protected by the UK Crown and we do not have a permission to reproduced them, so these files were removed.
Our framework contrains 4 machine learni... | 0 | 0 | [
"task_categories:image-classification",
"language:en",
"size_categories:10K<n<100K",
"region:us",
"deepfake"
] | 2025-11-12T16:05:26+00:00 | 2025-11-12T16:30:52+00:00 | 0 |
opengraph-labs/lerobot-simulation-over-the-barrier-01 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 559 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-11-10T15:18:53+00:00 | 2025-11-12T16:20:26+00:00 | 0 |
glowol/RealXBench |
# RealXBench
RealXBench is a comprehensive visual question answering benchmark dataset. The full dataset contains 300 high-quality image-question-answer triplets. Due to internal regulations, only a subset of 194 samples is released in this open-source version.
## Dataset Structure
Each example contains:
- **query*... |
# RealXBench
RealXBench is a comprehensive visual question answering benchmark dataset. The full dataset contains 300 high-quality image-question-answer triplets. Due to internal regulations, only a subset of 194 samples is released in this open-source version.
## Dataset Structure
Each example contains:
- **query*... | 0 | 0 | [
"task_categories:visual-question-answering",
"language:en",
"license:apache-2.0",
"size_categories:1K<n<10K",
"arxiv:2511.05271",
"region:us",
"vision",
"question-answering",
"multimodal"
] | 2025-11-12T15:48:31+00:00 | 2025-11-12T16:17:50+00:00 | 0 |
opengraph-labs/lerobot-simulation-to-the-shelf-01 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T14:29:31+00:00 | 2025-11-12T16:15:52+00:00 | 0 |
TheFactoryX/edition_0342_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0342_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... |
# edition_0342_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T16:17:14+00:00 | 2025-11-12T16:17:16+00:00 | 0 |
l0cal/bluesystem-rasskaz | # Dataset Card for BlueSystem Stories
## Dataset Summary
This dataset contains approximately 10,277 publicly available stories from rasskaz.bluesystem.me, a Russian-language archive for adult gay fiction. The dataset was created by scraping stories with IDs from 1 to 10,511 that are publicly accessible. Each entry co... | # Dataset Card for BlueSystem Stories
## Dataset Summary
This dataset contains approximately 10,277 publicly available stories from rasskaz.bluesystem.me, a Russian-language archive for adult gay fiction. The dataset was created by scraping stories with IDs from 1 to 10,511 that are publicly accessible. Each entry co... | 0 | 0 | [
"task_categories:text-generation",
"language:ru",
"size_categories:10K<n<100K",
"region:us",
"art",
"story",
"stories"
] | 2025-11-12T15:45:38+00:00 | 2025-11-12T16:16:08+00:00 | 0 |
braindecode/example_dataset-windows |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Windowed (from Epochs object) |
| Number of channels | 26 |
| Sampling freq... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Windowed (from Epochs object) |
| Number of channels | 26 |
| Sampling freq... | 39 | 0 | [
"license:unknown",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T12:20:34+00:00 | 2025-11-12T16:12:04+00:00 | 0 |
braindecode/example_dataset-raw |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Continuous (Raw) |
| Number of channels | 26 |
| Sampling frequency | 250 H... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Continuous (Raw) |
| Number of channels | 26 |
| Sampling frequency | 250 H... | 18 | 0 | [
"license:unknown",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T12:20:41+00:00 | 2025-11-12T16:12:13+00:00 | 0 |
braindecode/example_dataset-eegwindows |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Windowed (from Raw object) |
| Number of channels | 26 |
| Sampling frequen... |
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a library for deep learning with EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|---|---:|
| Number of recordings | 1 |
| Dataset type | Windowed (from Raw object) |
| Number of channels | 26 |
| Sampling frequen... | 13 | 0 | [
"license:unknown",
"region:us",
"braindecode",
"eeg",
"neuroscience",
"brain-computer-interface"
] | 2025-11-11T12:20:37+00:00 | 2025-11-12T16:12:12+00:00 | 0 |
stpete2/splat |
The splat file is converted from ply file.
You can see 3D gaussian splatting view here.
https://github.com/tztechno/splat (forked from https://github.com/antimatter15/splat) to see my splat data.
Modified 3D gaussian splat viewer is available [here](https://splat-three.vercel.app/).
---
**[from photos w/camera in... |
The splat file is converted from ply file.
You can see 3D gaussian splatting view here.
https://github.com/tztechno/splat (forked from https://github.com/antimatter15/splat) to see my splat data.
Modified 3D gaussian splat viewer is available [here](https://splat-three.vercel.app/).
---
**[from photos w/camera in... | 338 | 0 | [
"license:mit",
"region:us"
] | 2025-10-06T13:15:42+00:00 | 2025-11-12T16:09:17+00:00 | 0 |
openfoodfacts/product-database |
# Open Food Facts Database
## What is 🍊 Open Food Facts?
### A food products database
Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.
### Made by everyone
Open Food Facts is a non-profit association of vo... |
# Open Food Facts Database
## What is 🍊 Open Food Facts?
### A food products database
Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.
### Made by everyone
Open Food Facts is a non-profit association of vo... | 3,990 | 55 | [
"language:en",
"language:fr",
"language:de",
"language:es",
"language:it",
"language:nl",
"language:pl",
"language:pt",
"language:sv",
"language:bg",
"language:ro",
"language:fi",
"language:ru",
"language:nb",
"language:cs",
"language:th",
"language:da",
"language:hr",
"language:... | 2024-10-21T08:44:28+00:00 | 2025-11-12T16:01:27+00:00 | 2 |
wuschelschulz/mbpp_paired_reward_hacky_normal_cots |
# mbpp_paired_reward_hacky_normal_cots
# MBPP Paired Dataset: Reward Hacking vs Normal Solutions
This dataset contains paired examples of reward-hacking and correct solutions for MBPP (Mostly Basic Programming Problems) tasks.
## Dataset Structure
Each example contains:
- `task_id`: The MBPP task ID
- `reward_hack... |
# mbpp_paired_reward_hacky_normal_cots
# MBPP Paired Dataset: Reward Hacking vs Normal Solutions
This dataset contains paired examples of reward-hacking and correct solutions for MBPP (Mostly Basic Programming Problems) tasks.
## Dataset Structure
Each example contains:
- `task_id`: The MBPP task ID
- `reward_hack... | 0 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:n<1K",
"region:us"
] | 2025-11-12T15:58:36+00:00 | 2025-11-12T15:58:39+00:00 | 0 |
Aregay01/audio_transcription_for_tigrinya |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... |
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## ... | 0 | 0 | [
"region:us"
] | 2025-11-12T15:06:57+00:00 | 2025-11-12T15:59:13+00:00 | 0 |
QomSSLab/Legal_SyntheticDraftRuling_Selected | # Dataset Card for "Legal_SyntheticDraftRuling_Selected"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | # Dataset Card for "Legal_SyntheticDraftRuling_Selected"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 445 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-29T20:10:59+00:00 | 2025-11-12T16:01:05+00:00 | 0 |
openfoodfacts/open-prices |
# Open Prices
## What is Open Prices?
[Open Prices](https://prices.openfoodfacts.org/) is a project to collect and share prices of products around the world.
It's a publicly available dataset that can be used for research, analysis, and more. Open Prices is developed and maintained by Open Food Facts.
There are cur... |
# Open Prices
## What is Open Prices?
[Open Prices](https://prices.openfoodfacts.org/) is a project to collect and share prices of products around the world.
It's a publicly available dataset that can be used for research, analysis, and more. Open Prices is developed and maintained by Open Food Facts.
There are cur... | 474 | 4 | [
"license:odbl",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"price",
"food"
] | 2024-11-19T15:52:56+00:00 | 2025-11-12T16:00:22+00:00 | 1 |
buildborderless/degentic_rd0 |
# Dataset Card for Degentic Games
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
|
# Dataset Card for Degentic Games
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
| 344 | 0 | [
"license:apache-2.0",
"region:us"
] | 2025-06-08T08:30:43+00:00 | 2025-11-12T15:56:59+00:00 | 0 |
iwine-ugent/uwb-positioning-datasets | # UWB Positioning Datasets
This repository offers multiple open source UWB Positioning Datasets, collected in two **imec-IDLab, Ghent University** testbeds: the [Office Lab](https://idlab.ugent.be/resources/officelab) and the [Industrial IoT Lab](https://idlab.ugent.be/resources/industrial-iot-lab)
The following data... | # UWB Positioning Datasets
This repository offers multiple open source UWB Positioning Datasets, collected in two **imec-IDLab, Ghent University** testbeds: the [Office Lab](https://idlab.ugent.be/resources/officelab) and the [Industrial IoT Lab](https://idlab.ugent.be/resources/industrial-iot-lab)
The following data... | 6 | 0 | [
"language:en",
"license:apache-2.0",
"arxiv:2507.03523",
"region:us"
] | 2025-11-07T13:51:17+00:00 | 2025-11-12T15:53:09+00:00 | 0 |
dankeg/ArxivBulkDataset | # Arxiv Bulk Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset
# A... | # Arxiv Bulk Dataset
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## Dataset
# A... | 16 | 1 | [
"task_categories:summarization",
"task_categories:feature-extraction",
"task_categories:text-classification",
"language:en",
"license:mit",
"size_categories:1M<n<10M",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-11-09T02:57:26+00:00 | 2025-11-12T15:53:40+00:00 | 1 |
juliobellano/wristcam_ripeunripe_4 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:18:16+00:00 | 2025-11-12T15:53:06+00:00 | 0 |
TheFactoryX/edition_0341_shi-labs-oneformer_demo-readymade |
# edition_0341_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... |
# edition_0341_shi-labs-oneformer_demo-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[shi-labs/oneformer_demo](https://huggingface.co/datasets/shi-labs/oneformer_demo)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T15:53:01+00:00 | 2025-11-12T15:53:04+00:00 | 0 |
mteb/results |
> [!NOTE]
> Previously, it was possible to submit model results to MTEB by adding them to the metadata of the model card on huggingface. However, this is no longer possible as we want to ensure that we can match the results with the model implementation. If you want to add your model, please follow the [guide](https... |
> [!NOTE]
> Previously, it was possible to submit model results to MTEB by adding them to the metadata of the model card on huggingface. However, this is no longer possible as we want to ensure that we can match the results with the model implementation. If you want to add your model, please follow the [guide](https... | 5,463 | 1 | [
"benchmark:mteb",
"region:us"
] | 2024-07-06T20:19:19+00:00 | 2025-11-12T15:53:28+00:00 | 0 |
pr0tos/so101_put_rc_pb |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:43:46+00:00 | 2025-11-12T15:43:49+00:00 | 0 |
Arururu12/flir_camera_record_test |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:43:14+00:00 | 2025-11-12T15:43:20+00:00 | 0 |
phicoltan/pusht_image_renamed |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:42:32+00:00 | 2025-11-12T15:42:35+00:00 | 0 |
ekacare/Eka-IndicMTEB |
# Eka-IndicMTEB
## Dataset Description
**Eka-IndicMTEB**, is a evaluation dataset comprising Indian Multilingual Medical Terms designed to evaluate embedding models on medical terminology across multiple Indic languages and scripts. It contains 2,532 doctor-verified queries, capturing the linguistic and domain-speci... |
# Eka-IndicMTEB
## Dataset Description
**Eka-IndicMTEB**, is a evaluation dataset comprising Indian Multilingual Medical Terms designed to evaluate embedding models on medical terminology across multiple Indic languages and scripts. It contains 2,532 doctor-verified queries, capturing the linguistic and domain-speci... | 58 | 0 | [
"task_categories:text-classification",
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"dataset"
] | 2025-10-31T13:25:27+00:00 | 2025-11-12T15:40:43+00:00 | 0 |
omerbasik1/heart-disease-eda | ---
license: mit
Heart Disease Prediction Analysis and Preprocessing
Introduction, Data Source, and Project Goal
This project presents an Exploratory Data Analysis (EDA) and strategic data preparation for a heart disease prediction dataset. The dataset, sourced from Kaggle, contains over 1,000 patient records with 14 ... | ---
license: mit
Heart Disease Prediction Analysis and Preprocessing
Introduction, Data Source, and Project Goal
This project presents an Exploratory Data Analysis (EDA) and strategic data preparation for a heart disease prediction dataset. The dataset, sourced from Kaggle, contains over 1,000 patient records with 14 ... | 0 | 0 | [
"region:us"
] | 2025-11-12T12:41:19+00:00 | 2025-11-12T15:39:09+00:00 | 0 |
wanglab/PerturbQA-language | ## Author
Ivy Liu (Arc/Goodarzi)
## About
Natural language QA based on [perturbQA](https://github.com/Genentech/PerturbQA/tree/main) dataset, questions about differential expression (DE), direction of change (DIR), geneset responses to perurbation (GSE). | ## Author
Ivy Liu (Arc/Goodarzi)
## About
Natural language QA based on [perturbQA](https://github.com/Genentech/PerturbQA/tree/main) dataset, questions about differential expression (DE), direction of change (DIR), geneset responses to perurbation (GSE). | 4 | 0 | [
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-11T23:12:26+00:00 | 2025-11-12T15:38:56+00:00 | 0 |
piebro/deutsche-bahn-data |
# Deutsche Bahn Train Data
This dataset contains public historical data from Deutsche Bahn, the largest German train company. It includes train schedules, delays, and cancellations from stations across Germany.
For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data
## Dataset S... |
# Deutsche Bahn Train Data
This dataset contains public historical data from Deutsche Bahn, the largest German train company. It includes train schedules, delays, and cancellations from stations across Germany.
For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data
## Dataset S... | 189 | 0 | [
"task_categories:time-series-forecasting",
"task_categories:tabular-regression",
"license:cc-by-4.0",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"transportation... | 2025-10-19T09:10:16+00:00 | 2025-11-12T15:38:20+00:00 | 0 |
devingulliver/common-culture |
This contains an English subset of "Open Culture," originally released as part of [PleIAs/common_corpus](https://huggingface.co/datasets/PleIAs/common_corpus).
More specifically, it includes English-PD, US-PD-Books, and US-PD-Newspapers, totaling around 450B raw tokens.
No additional cleaning or filtering has been... |
This contains an English subset of "Open Culture," originally released as part of [PleIAs/common_corpus](https://huggingface.co/datasets/PleIAs/common_corpus).
More specifically, it includes English-PD, US-PD-Books, and US-PD-Newspapers, totaling around 450B raw tokens.
No additional cleaning or filtering has been... | 41 | 0 | [
"task_categories:text-generation",
"language:en",
"license:cc0-1.0",
"size_categories:10M<n<100M",
"format:json",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | 2025-10-31T23:24:48+00:00 | 2025-11-12T15:37:14+00:00 | 0 |
taesiri/imagenet-hard-4K | # Dataset Card for "Imagenet-Hard-4K"
[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed)
**ImageNet-Hard-4K** is 4K version of the original [**ImageNet-Hard**](https://huggingface.co/datasets/taesiri/imagene... | # Dataset Card for "Imagenet-Hard-4K"
[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed)
**ImageNet-Hard-4K** is 4K version of the original [**ImageNet-Hard**](https://huggingface.co/datasets/taesiri/imagene... | 838 | 4 | [
"task_categories:image-classification",
"language:en",
"license:mit",
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2304.05538",
"region:us",
"OOD",
"ImageNet",
"Out... | 2023-05-21T17:33:17+00:00 | 2025-11-12T15:36:04+00:00 | 0 |
wmaousley/finrebut-400 |
# Dataset Summary
FinRebut-400 is a tiny open-source corpus of 400 (rationale, counter-argument) sentence pairs designed for adversarial fine-tuning of a financial-LLM critic (MiniCrit-1.5B).
Released under CC-BY-4.0.
# Languages
English only (`en`)
# Licence
[Creative Commons Attribution 4.0 International (C... |
# Dataset Summary
FinRebut-400 is a tiny open-source corpus of 400 (rationale, counter-argument) sentence pairs designed for adversarial fine-tuning of a financial-LLM critic (MiniCrit-1.5B).
Released under CC-BY-4.0.
# Languages
English only (`en`)
# Licence
[Creative Commons Attribution 4.0 International (C... | 0 | 0 | [
"task_categories:text-generation",
"task_categories:text-classification",
"language:en",
"license:cc-by-4.0",
"region:us",
"finance",
"adversarial",
"llm-critic",
"trading"
] | 2025-11-12T15:21:54+00:00 | 2025-11-12T15:34:41+00:00 | 0 |
taesiri/imagenet-hard | # Dataset Card for "ImageNet-Hard"
[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [ArXiv](https://arxiv.org/abs/2304.05538) - [Paper](https://huggingface.co/papers/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed) - [Image Browser](https://huggingface.co/spaces/taesiri/ImageNet-Hard-B... | # Dataset Card for "ImageNet-Hard"
[Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [ArXiv](https://arxiv.org/abs/2304.05538) - [Paper](https://huggingface.co/papers/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed) - [Image Browser](https://huggingface.co/spaces/taesiri/ImageNet-Hard-B... | 346 | 12 | [
"task_categories:image-classification",
"language:en",
"license:mit",
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2304.05538",
"region:us",
"OOD",
"ImageNet",
"Out O... | 2023-03-31T05:48:23+00:00 | 2025-11-12T15:35:17+00:00 | 0 |
royrin/KLOM-models | Dataset for the evaluation of data-unlearning techniques using KLOM (KL-divergence of Margins).
# How KLOM works:
KLOM works by:
1. training N models (original models)
2. Training N fully-retrained models (oracles) on forget set F
3. unlearning forget set F from the original models
4. Comparing the outputs of the unle... | Dataset for the evaluation of data-unlearning techniques using KLOM (KL-divergence of Margins).
# How KLOM works:
KLOM works by:
1. training N models (original models)
2. Training N fully-retrained models (oracles) on forget set F
3. unlearning forget set F from the original models
4. Comparing the outputs of the unle... | 2,203 | 3 | [
"license:mit",
"size_categories:10K<n<100K",
"arxiv:2410.23232",
"region:us"
] | 2025-05-04T19:36:56+00:00 | 2025-11-12T15:35:09+00:00 | 0 |
TheFactoryX/edition_0340_lavita-medical-qa-shared-task-v1-toy-readymade |
# edition_0340_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... |
# edition_0340_lavita-medical-qa-shared-task-v1-toy-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[lavita/medical-qa-shared-task-v1-toy](https://huggingface.co/datasets/lavita/medical-qa-shared-task-v1-toy)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking ever... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T15:36:25+00:00 | 2025-11-12T15:36:27+00:00 | 0 |
asterism45/bi_openarm_dataset_truetest_2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:33:47+00:00 | 2025-11-12T15:35:22+00:00 | 0 |
msmandelbrot/eval_act_green_cube_black_box_ood |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:28:02+00:00 | 2025-11-12T15:28:14+00:00 | 0 |
Chuntianli/CrossVid |
# CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
## Dataset Description
**CrossVid** is a large-scale, multi-task dataset designed to advance cross-video understanding capabilities in vision-language models. The dataset encompasses **10 diverse task types... |
# CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
## Dataset Description
**CrossVid** is a large-scale, multi-task dataset designed to advance cross-video understanding capabilities in vision-language models. The dataset encompasses **10 diverse task types... | 0 | 0 | [
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"region:us",
"video-understanding",
"cross-video-reasoning",
"multimodal",
"temporal-reasoning",
"spatial-reasoning"
] | 2025-11-12T14:53:24+00:00 | 2025-11-12T15:24:43+00:00 | 0 |
tomneutens/lerobot-cup-grab-test_2025-11-12_16.23.23 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:24:09+00:00 | 2025-11-12T15:24:18+00:00 | 0 |
spaicom-lab/latents-cifar10 |
# Latents for cifar10 (timm)
This repository hosts **precomputed embeddings** (float16) for `cifar10` across many `timm` models.
Each dataset **config** corresponds to a single model; only that model’s Parquet files are read on `load_dataset`.
## Usage
```python
from datasets import load_dataset
ds_train = load_da... |
# Latents for cifar10 (timm)
This repository hosts **precomputed embeddings** (float16) for `cifar10` across many `timm` models.
Each dataset **config** corresponds to a single model; only that model’s Parquet files are read on `load_dataset`.
## Usage
```python
from datasets import load_dataset
ds_train = load_da... | 0 | 0 | [
"region:us"
] | 2025-11-12T15:30:54+00:00 | 2025-11-12T15:31:11+00:00 | 0 |
msmandelbrot/eval_act_green_cube_black_box |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:04:40+00:00 | 2025-11-12T15:26:49+00:00 | 0 |
jniimi/weather_forecast_japan | ## Overview
This dataset contains daily-collected weather forecasts for up to seven days ahead for all the meteorological observatories in Japan, published by the Japan Meteorological Agency (JMA) at [https://www.jma.go.jp/bosai/forecast/](https://www.jma.go.jp/bosai/forecast/).
We collect, structurize, and accumulate... | ## Overview
This dataset contains daily-collected weather forecasts for up to seven days ahead for all the meteorological observatories in Japan, published by the Japan Meteorological Agency (JMA) at [https://www.jma.go.jp/bosai/forecast/](https://www.jma.go.jp/bosai/forecast/).
We collect, structurize, and accumulate... | 1,866 | 2 | [
"task_categories:tabular-regression",
"task_categories:tabular-classification",
"language:ja",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"cl... | 2024-08-22T11:37:59+00:00 | 2025-11-12T15:20:39+00:00 | 0 |
leledeyuan/takeoff-tshirt |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T15:17:58+00:00 | 2025-11-12T15:19:08+00:00 | 0 |
leledeyuan/hanging-tshirt |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 42 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"LeRobot"
] | 2025-10-31T14:55:19+00:00 | 2025-11-12T15:18:01+00:00 | 0 |
IVUL-KAUST/AutoThink |
The AutoThink data includes math-reasoning, image-reasoning, and video-reasoning datasets, e.g., DAPO-MATH, ViRL, Video-R1.
We filtered some noisy/low-quality reasoning samples from TVBench, MMR-Vbench, and NExT-GQA. We exclude VideoVista, ShortVid-Bench, and Video-Holmes data due to the presence of many low-quality ... |
The AutoThink data includes math-reasoning, image-reasoning, and video-reasoning datasets, e.g., DAPO-MATH, ViRL, Video-R1.
We filtered some noisy/low-quality reasoning samples from TVBench, MMR-Vbench, and NExT-GQA. We exclude VideoVista, ShortVid-Bench, and Video-Holmes data due to the presence of many low-quality ... | 13 | 0 | [
"license:apache-2.0",
"size_categories:100K<n<1M",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-11-07T01:49:40+00:00 | 2025-11-12T15:16:43+00:00 | 0 |
TheFactoryX/edition_0339_cornell-movie-review-data-rotten_tomatoes-readymade |
# edition_0339_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... |
# edition_0339_cornell-movie-review-data-rotten_tomatoes-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[cornell-movie-review-data/rotten_tomatoes](https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept... | 0 | 0 | [
"license:other",
"region:us",
"readymades",
"art",
"shuffled",
"duchamp"
] | 2025-11-12T15:14:05+00:00 | 2025-11-12T15:14:07+00:00 | 0 |
QShane/CL2GEC |
# CL²GEC:A Multi-Discipline Benchmark for Continual Learning in Chinese Literature Grammatical Error Correction
**CL²GEC** is a benchmark for **Chinese grammatical error correction (GEC)** in **scholarly writing** with a **continual-learning** protocol. The corpus covers **10 first-level disciplines** (Law, Manageme... |
# CL²GEC:A Multi-Discipline Benchmark for Continual Learning in Chinese Literature Grammatical Error Correction
**CL²GEC** is a benchmark for **Chinese grammatical error correction (GEC)** in **scholarly writing** with a **continual-learning** protocol. The corpus covers **10 first-level disciplines** (Law, Manageme... | 23 | 0 | [
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"arxiv:2509.13672",
"region:us"
] | 2025-10-31T11:42:54+00:00 | 2025-11-12T15:11:56+00:00 | 0 |
oncollm/cancer-reasoning-traces |
# Cancer Reasoning Traces
**Paper:** *Reasoning with LLMs for Cancer Treatment Outcome Prediction*
**Authors:** Geetha Krishna Guruju, Raghu Vamsi Hemadri et al.
**License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
**Dataset size:** 24,856 samples
**Modality:** Text
**Task:** Clinical reas... |
# Cancer Reasoning Traces
**Paper:** *Reasoning with LLMs for Cancer Treatment Outcome Prediction*
**Authors:** Geetha Krishna Guruju, Raghu Vamsi Hemadri et al.
**License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
**Dataset size:** 24,856 samples
**Modality:** Text
**Task:** Clinical reas... | 50 | 0 | [
"task_categories:text-generation",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"arxiv:2510.17532",
"region:us",
"cancer",
"oncology",
"clinical",
"reason... | 2025-07-10T15:44:13+00:00 | 2025-11-12T15:11:40+00:00 | 0 |
TuringRRX/TinyMoves | # TinyMoves Dataset
TinyMoves is a dataset for reasoning on Reactome biological pathways. We introduce two tasks:
- **Task 1 - Reconstruction**: A benchmark for **building an entire pathway**, testing models' ability to generate the ordered sequence of mechanistic steps in a pathway, starting from just an obfuscated t... | # TinyMoves Dataset
TinyMoves is a dataset for reasoning on Reactome biological pathways. We introduce two tasks:
- **Task 1 - Reconstruction**: A benchmark for **building an entire pathway**, testing models' ability to generate the ordered sequence of mechanistic steps in a pathway, starting from just an obfuscated t... | 23 | 0 | [
"language:en",
"license:mit",
"region:us",
"biology"
] | 2025-08-22T08:31:04+00:00 | 2025-11-12T15:05:37+00:00 | 0 |
AppThreat/vdb |
This dataset comprises application and OS vulnerabilities aggregated from multiple sources, including OSV, GitHub, NVD, and Linux vendor feeds, in the form of SQLite data files (.vdb6).
## Vulnerability Data sources
- Linux [vuln-list](https://github.com/appthreat/vuln-list)
- OSV (1)
- NVD
- GitHub
## Linux distro... |
This dataset comprises application and OS vulnerabilities aggregated from multiple sources, including OSV, GitHub, NVD, and Linux vendor feeds, in the form of SQLite data files (.vdb6).
## Vulnerability Data sources
- Linux [vuln-list](https://github.com/appthreat/vuln-list)
- OSV (1)
- NVD
- GitHub
## Linux distro... | 2,422 | 1 | [
"language:en",
"license:mit",
"region:us",
"vulnerabilities",
"vdb",
"sca",
"osv",
"nvd",
"ghsa",
"vers",
"purl"
] | 2025-02-17T23:35:01+00:00 | 2025-11-12T15:02:53+00:00 | 0 |
HSP-IIT/hri2 |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T14:53:26+00:00 | 2025-11-12T15:01:46+00:00 | 0 |
yaisa5ramriez/good_data |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... |
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
... | 0 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"region:us",
"LeRobot"
] | 2025-11-12T14:54:23+00:00 | 2025-11-12T14:58:46+00:00 | 0 |
LSDB/desi-dr1-zcat |
The Dark Energy Spectroscopic Instrument (DESI) is a 5-year spectroscopic redshift survey designed to map the three-dimensional structure of the universe between z=0 and z=4. Data Release 1 includes high-confidence redshifts for 18.7 million objects - 13.1 million galaxies, 1.6 million quasars, and 4 million stars - f... |
The Dark Energy Spectroscopic Instrument (DESI) is a 5-year spectroscopic redshift survey designed to map the three-dimensional structure of the universe between z=0 and z=4. Data Release 1 includes high-confidence redshifts for 18.7 million objects - 13.1 million galaxies, 1.6 million quasars, and 4 million stars - f... | 25 | 0 | [
"license:cc-by-4.0",
"size_categories:10M<n<100M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | 2025-10-27T14:41:18+00:00 | 2025-11-12T14:58:58+00:00 | 0 |
dhvazquez/mtg_synthetic_large_dataset | # Magic The Gatering Synthetic Large Image Dataset.
Synthetic images of MTG cards with the following features:
* Photorealistic rendering using BlenderProc2 and HDRI environments
* Precise card geometry with rounded corners
* Random transformations for data augmentation
* Segmentation masks for semantic segmentation ... | # Magic The Gatering Synthetic Large Image Dataset.
Synthetic images of MTG cards with the following features:
* Photorealistic rendering using BlenderProc2 and HDRI environments
* Precise card geometry with rounded corners
* Random transformations for data augmentation
* Segmentation masks for semantic segmentation ... | 6 | 0 | [
"task_categories:image-classification",
"task_categories:image-segmentation",
"task_categories:image-feature-extraction",
"language:en",
"license:mit",
"region:us"
] | 2025-11-11T15:11:02+00:00 | 2025-11-12T14:55:45+00:00 | 0 |
swap-uniba/MTVQA_IT |
# Dataset Card for MTVQA_IT
## Dataset description
This is a formatted version of [MTVQA](https://huggingface.co/datasets/ByteDance/MTVQA) including only the Italian data.
## Citation
If you use this dataset in your research you should cite the original publication:
```
@misc{tang2024mtvqa,
title={MTVQA: Be... |
# Dataset Card for MTVQA_IT
## Dataset description
This is a formatted version of [MTVQA](https://huggingface.co/datasets/ByteDance/MTVQA) including only the Italian data.
## Citation
If you use this dataset in your research you should cite the original publication:
```
@misc{tang2024mtvqa,
title={MTVQA: Be... | 26 | 0 | [
"task_categories:image-text-to-text",
"license:cc-by-nc-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"arxiv:2405.11985",
"region:us"
] | 2024-08-16T21:11:52+00:00 | 2025-11-12T14:55:56+00:00 | 0 |
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